Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth
ObjectiveBoth impulsiveness and trait depression are the trait-level risk factors for depressive symptoms. However, the two traits overlap and do not affect depressive symptoms independently. This study takes impulsiveness and trait depression into a whole construct, aiming to find the complex assoc...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-06-01
|
| Series: | Frontiers in Psychiatry |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.916332/full |
| _version_ | 1828728417942503424 |
|---|---|
| author | Jingxuan Zhang Kuiliang Li Yitong Xue Zhengzhi Feng |
| author_facet | Jingxuan Zhang Kuiliang Li Yitong Xue Zhengzhi Feng |
| author_sort | Jingxuan Zhang |
| collection | DOAJ |
| description | ObjectiveBoth impulsiveness and trait depression are the trait-level risk factors for depressive symptoms. However, the two traits overlap and do not affect depressive symptoms independently. This study takes impulsiveness and trait depression into a whole construct, aiming to find the complex associations among all facets and explore their relative importance in a trait network. It can help us find the key facets that need consideration in preventing depression.Materials and MethodsWe used the Barratt Impulsiveness Scale (BIS) and Trait Depression Scale (T-DEP) as measuring tools, conducted network analysis, and applied the Graphic Least Absolute Shrinkage and Selection Operator (GLASSO) algorithm to estimate the network structure and compute the linkage and centrality indexes. The accuracy and stability of the indexes were estimated through bootstrapping. All the computations were performed by R script and packages.ResultsWe found that “trait anhedonia” was connected with “non-planning” and “cognitive” impulsiveness, while “trait dysthymia” was connected with “motor” impulsiveness. “Cognitive” impulsiveness had a statistically significant higher expected influence than “motor” impulsiveness and had the trend to be dominant in the network. “Trait dysthymia” had a statistically significant higher bridge expected influence than “cognitive” impulsiveness and had the trend to be the key facet linking impulsiveness with trait depression. “Non-only children” had higher network global strength than “only children.” All indexes were accurate and stable.ConclusionThe present study confirms the complex associations among facets of trait depression and impulsiveness, finding that “cognitive” impulsiveness and “trait dysthymia” are the two key factors in the network. The results imply that different facets of impulsiveness should be considered respectively regarding anhedonia and dysthymia. “Cognitive” impulsiveness and “trait dysthymia” are critical to the prevention of depression. |
| first_indexed | 2024-04-12T14:15:06Z |
| format | Article |
| id | doaj.art-27d834ab5d544a6fba48dd3c69eed8d3 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-12T14:15:06Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-27d834ab5d544a6fba48dd3c69eed8d32022-12-22T03:29:45ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-06-011310.3389/fpsyt.2022.916332916332Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among YouthJingxuan ZhangKuiliang LiYitong XueZhengzhi FengObjectiveBoth impulsiveness and trait depression are the trait-level risk factors for depressive symptoms. However, the two traits overlap and do not affect depressive symptoms independently. This study takes impulsiveness and trait depression into a whole construct, aiming to find the complex associations among all facets and explore their relative importance in a trait network. It can help us find the key facets that need consideration in preventing depression.Materials and MethodsWe used the Barratt Impulsiveness Scale (BIS) and Trait Depression Scale (T-DEP) as measuring tools, conducted network analysis, and applied the Graphic Least Absolute Shrinkage and Selection Operator (GLASSO) algorithm to estimate the network structure and compute the linkage and centrality indexes. The accuracy and stability of the indexes were estimated through bootstrapping. All the computations were performed by R script and packages.ResultsWe found that “trait anhedonia” was connected with “non-planning” and “cognitive” impulsiveness, while “trait dysthymia” was connected with “motor” impulsiveness. “Cognitive” impulsiveness had a statistically significant higher expected influence than “motor” impulsiveness and had the trend to be dominant in the network. “Trait dysthymia” had a statistically significant higher bridge expected influence than “cognitive” impulsiveness and had the trend to be the key facet linking impulsiveness with trait depression. “Non-only children” had higher network global strength than “only children.” All indexes were accurate and stable.ConclusionThe present study confirms the complex associations among facets of trait depression and impulsiveness, finding that “cognitive” impulsiveness and “trait dysthymia” are the two key factors in the network. The results imply that different facets of impulsiveness should be considered respectively regarding anhedonia and dysthymia. “Cognitive” impulsiveness and “trait dysthymia” are critical to the prevention of depression.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.916332/fulltrait depressionimpulsivenessnetwork analysisfacetdysthymiaanhedonia |
| spellingShingle | Jingxuan Zhang Kuiliang Li Yitong Xue Zhengzhi Feng Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth Frontiers in Psychiatry trait depression impulsiveness network analysis facet dysthymia anhedonia |
| title | Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth |
| title_full | Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth |
| title_fullStr | Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth |
| title_full_unstemmed | Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth |
| title_short | Network Analysis of the Relationship Between Trait Depression and Impulsiveness Among Youth |
| title_sort | network analysis of the relationship between trait depression and impulsiveness among youth |
| topic | trait depression impulsiveness network analysis facet dysthymia anhedonia |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.916332/full |
| work_keys_str_mv | AT jingxuanzhang networkanalysisoftherelationshipbetweentraitdepressionandimpulsivenessamongyouth AT kuiliangli networkanalysisoftherelationshipbetweentraitdepressionandimpulsivenessamongyouth AT yitongxue networkanalysisoftherelationshipbetweentraitdepressionandimpulsivenessamongyouth AT zhengzhifeng networkanalysisoftherelationshipbetweentraitdepressionandimpulsivenessamongyouth |